minoTour, real-time monitoring and analysis for nanopore sequencers

Munro, Rory; Santos, Roberto; Payne, Alexander; Forey, Teri; Osei, Solomon; Holmes, Nadine; Loose, Matthew

Abstract

Summary: MinoTour offers a LIMS system for Oxford Nanopore Technology sequencers, with real-time metrics and analysis available permanently for review. Integration of unique real-time automated analysis can reduce the time required to answer biological questions, including mapping and classification of sequence whilst a run is in progress. Real-time sequence data requires new methods of analysis which do not wait for the completion of a run and MinoTour provides a framework to allow users to exploit these features.

Citation

Munro, R., Santos, R., Payne, A., Forey, T., Osei, S., Holmes, N., & Loose, M. (2022). minoTour, real-time monitoring and analysis for nanopore sequencers. Bioinformatics, 38(4), 1133-1135. https://doi.org/10.1093/bioinformatics/btab780

• Journal Article Type: Article
• Acceptance Date: Nov 8, 2021
• Online Publication Date: Nov 15, 2021
• Publication Date: Feb 15, 2022
• Deposit Date: Nov 12, 2021
• Publicly Available Date: Nov 16, 2022
• Journal: Bioinformatics
• Print ISSN: 1367-4803
• Electronic ISSN: 1460-2059
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 4
• Pages: 1133-1135
• DOI: https://doi.org/10.1093/bioinformatics/btab780
• Keywords: Computational Mathematics; Computational Theory and Mathematics; Computer Science Applications; Molecular Biology; Biochemistry; Statistics and Probability
• Public URL: https://nottingham-repository.worktribe.com/output/6682006
• Publisher URL: https://academic.oup.com/bioinformatics/article/38/4/1133/6428657